



import contextlib
import os
import sqlitea

import pytest

from datasets import Dataset, Features, Value
from datasets.io.sql import SqlDatasetReader, SqlDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases, require_sqlalchemy


def    __lowerCamelCase   (  lowerCamelCase__	,					lowerCamelCase__		):

				"""simple docstring"""


				assert isinstance(SCREAMING_SNAKE_CASE__	,					SCREAMING_SNAKE_CASE__		)
				assert dataset.num_rows == 4
				assert dataset.num_columns == 3
				assert dataset.column_names == ["col_1", "col_2", "col_3"]
				for feature, expected_dtype in expected_features.items():
								assert dataset.features[feature].dtype == expected_dtype


@require_sqlalchemy
@pytest.mark.parametrize("keep_in_memory"	,					[False, True]		)
def    __lowerCamelCase   (  lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__		):

				"""simple docstring"""


				lowercase__	:       Dict						=	tmp_path / """cache"""
				lowercase__	:       List[str]						=	{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
				with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
								lowercase__	:       Optional[Any]						=	SqlDatasetReader(
								    "dataset"	,					"sqlite:///" + sqlite_path	,					cache_dir=SCREAMING_SNAKE_CASE__	,					keep_in_memory=SCREAMING_SNAKE_CASE__		).read()
				_check_sql_dataset(SCREAMING_SNAKE_CASE__	,					SCREAMING_SNAKE_CASE__		)


@require_sqlalchemy
@pytest.mark.parametrize(
    "features"	,					[
        None,
        {"col_1": "string", "col_2": "int64", "col_3": "float64"},
        {"col_1": "string", "col_2": "string", "col_3": "string"},
        {"col_1": "int32", "col_2": "int32", "col_3": "int32"},
        {"col_1": "float32", "col_2": "float32", "col_3": "float32"},
    ]	,					)
def    __lowerCamelCase   (  lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__		):

				"""simple docstring"""


				lowercase__	:       Optional[int]						=	tmp_path / """cache"""
				lowercase__	:       Tuple						=	{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
				lowercase__	:       Union[str, Any]						=	features.copy() if features else default_expected_features
				lowercase__	:       Dict						=	(
				    Features({feature: Value(SCREAMING_SNAKE_CASE__		) for feature, dtype in features.items()}		) if features is not None else None
				)
				lowercase__	:       str						=	SqlDatasetReader("dataset"	,					"sqlite:///" + sqlite_path	,					features=SCREAMING_SNAKE_CASE__	,					cache_dir=SCREAMING_SNAKE_CASE__		).read()
				_check_sql_dataset(SCREAMING_SNAKE_CASE__	,					SCREAMING_SNAKE_CASE__		)


def    __lowerCamelCase   (  lowerCamelCase__		):

				"""simple docstring"""


				with contextlib.closing(sqlitea.connect(SCREAMING_SNAKE_CASE__		)		) as con:
								lowercase__	:       int						=	con.cursor()
								cur.execute("SELECT * FROM dataset"		)
								for row in cur:
												yield row


@require_sqlalchemy
def    __lowerCamelCase   (  lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__		):

				"""simple docstring"""


				lowercase__	:       Optional[int]						=	tmp_path / """cache"""
				lowercase__	:       int						=	os.path.join(SCREAMING_SNAKE_CASE__	,					"tmp.sql"		)
				lowercase__	:       Union[str, Any]						=	SqlDatasetReader("dataset"	,					"sqlite:///" + sqlite_path	,					cache_dir=SCREAMING_SNAKE_CASE__		).read()
				SqlDatasetWriter(SCREAMING_SNAKE_CASE__	,					"dataset"	,					"sqlite:///" + output_sqlite_path	,					num_proc=1		).write()

				lowercase__	:       Any						=	iter_sql_file(SCREAMING_SNAKE_CASE__		)
				lowercase__	:       int						=	iter_sql_file(SCREAMING_SNAKE_CASE__		)

				for rowa, rowa in zip(SCREAMING_SNAKE_CASE__	,					SCREAMING_SNAKE_CASE__		):
								assert rowa == rowa


@require_sqlalchemy
def    __lowerCamelCase   (  lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__		):

				"""simple docstring"""


				lowercase__	:       List[Any]						=	tmp_path / """cache"""
				lowercase__	:       List[str]						=	os.path.join(SCREAMING_SNAKE_CASE__	,					"tmp.sql"		)
				lowercase__	:       Any						=	SqlDatasetReader("dataset"	,					"sqlite:///" + sqlite_path	,					cache_dir=SCREAMING_SNAKE_CASE__		).read()
				SqlDatasetWriter(SCREAMING_SNAKE_CASE__	,					"dataset"	,					"sqlite:///" + output_sqlite_path	,					num_proc=2		).write()

				lowercase__	:       Dict						=	iter_sql_file(SCREAMING_SNAKE_CASE__		)
				lowercase__	:       Union[str, Any]						=	iter_sql_file(SCREAMING_SNAKE_CASE__		)

				for rowa, rowa in zip(SCREAMING_SNAKE_CASE__	,					SCREAMING_SNAKE_CASE__		):
								assert rowa == rowa


@require_sqlalchemy
def    __lowerCamelCase   (  lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__		):

				"""simple docstring"""


				lowercase__	:       Union[str, Any]						=	tmp_path / """cache"""
				lowercase__	:       int						=	os.path.join(SCREAMING_SNAKE_CASE__	,					"tmp.sql"		)
				lowercase__	:       Optional[int]						=	SqlDatasetReader("dataset"	,					"sqlite:///" + sqlite_path	,					cache_dir=SCREAMING_SNAKE_CASE__		).read()
				with pytest.raises(SCREAMING_SNAKE_CASE__		):
								SqlDatasetWriter(SCREAMING_SNAKE_CASE__	,					"dataset"	,					"sqlite:///" + output_sqlite_path	,					num_proc=0		).write()








'''simple docstring'''


import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


UpperCAmelCase_						:  List[Any]				  =						'sshleifer/bart-tiny-random'
UpperCAmelCase_						:  Tuple				  =						'patrickvonplaten/t5-tiny-random'





@require_torch
class        lowercase__    (		unittest.TestCase   ):





							'''simple docstring'''


							@cached_property
							def UpperCAmelCase_      (       self    ):
											return AutoConfig.from_pretrained(__snake_case    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			int							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=1    )
											self.assertEqual(student.config.num_hidden_layers       ,   1    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			int							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=__snake_case    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			str							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=__snake_case    )
											self.assertEqual(student.config.encoder_layers       ,   1    )
											self.assertEqual(student.config.decoder_layers       ,   self.teacher_config.encoder_layers    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=1    )
											self.assertEqual(student.config.encoder_layers       ,   1    )
											self.assertEqual(student.config.decoder_layers       ,   1    )






							def UpperCAmelCase_      (       self    ):
											with self.assertRaises(__snake_case    ):
															create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=__snake_case       ,   d=__snake_case    )




